Can Your AI Pricing Tool Break Australia's Cartel Laws?

Here is a way to breach Australia's cartel laws without ever calling a competitor: buy the same AI pricing tool they use. If that tool reads the market's live prices and nudges everyone toward the same number, the law can treat it as coordination — and coordination on price is the most heavily penalised conduct the ACCC pursues. Since 28 March 2026, the maximum penalty for a company is the greater of $100 million, three times the benefit, or 30 per cent of annual turnover.

The part that catches people out: you don't need an agreement. No handshake, no phone call, no intent required. Australia's "concerted practices" prohibition — in the Competition and Consumer Act since November 2017 — reaches cooperation that stops well short of a deal. And the ACCC's chair has now put AI pricing tools squarely in that frame.

ACCC Chair Gina Cass-Gottlieb has confirmed the regulator is watching AI pricing algorithms for collusion-like outcomes that arise without any human coordination — pricing bots that, left to optimise, learn that easing off competition and holding prices up beats a price war. Speaking to competition lawyers in early September, she went further than monitoring: future enforcement, she signalled, may not require proof that any human agreed anything.

That is less a stretch of the law than a use of a tool already on the shelf. When the concerted-practices prohibition came in, the ACCC's line was blunt: you cannot avoid liability by saying "my robot did it." A concerted practice is any form of cooperation between competitors — and regulators here and overseas increasingly read a shared pricing algorithm, fed everyone's live data, as exactly that. In the US, the Department of Justice sued the maker of rental-pricing software, alleging its algorithm helped landlords coordinate rents across whole cities. The mechanism there is the mechanism here.

Want to know what this means for your business? We'll map it in one call.

It is tempting to file this under Big Tech — Amazon, Temu, the supermarket duopoly. It isn't only theirs. The same pricing and quoting tools are now sold to trades, hospitality and services firms, and the risk doesn't track the size of the business. It tracks how many of your competitors run the same tool. If a dozen electricians in one city all use a quoting platform that sets prices partly from what other local firms are currently charging, the platform has become a channel through which competitors' pricing flows and aligns. Nobody agreed a price. The law may not need them to have.

Be precise about where the line sits, because most AI pricing is fine. A tool that sets your prices from your own costs, your own capacity and public demand signals is your commercial decision, made faster. The exposure begins when the tool ingests competitors' current or planned prices — or when one third party pools pricing across rival firms and feeds it back. That information exchange is the ingredient that turns "smart pricing" into a concerted practice. Purely independent bots landing on the same price with no shared data is a genuinely grey area the regulator is still working through — which is exactly why Cass-Gottlieb is flagging that the law may need to move. The safe assumption is that a shared tool touching rivals' prices is already reachable.

If you can't say, in one sentence, whether your pricing tool sees your competitors' numbers, that's the conversation to have before it becomes a $100 million question. The stakes scale to you, not away from you: the 30-per-cent-of-turnover limb is built to bite firms a flat fine wouldn't trouble, and a concerted-practices matter is the ACCC's highest-priority enforcement category — the one it takes to the Federal Court.

Ask your pricing or quoting vendor one direct question, in writing: does the tool use other businesses' current or future prices as an input, and is the same tool — with the same shared data — used by my competitors? Yes to both, and you're in the zone the ACCC is now watching. Keep your pricing decisions genuinely your own — price from your costs, your capacity and your judgement, not from a live feed of what the firm down the road is charging — and write down how you set prices, so you can show a regulator the logic was yours. This sits alongside the consumer-law limits on how AI sets a customer's price: one rulebook governs what you charge a customer, the other how your price relates to your rivals'. Dynamic pricing built on your own data is a legitimate edge. The version that quietly syncs the market is the one that carries a penalty with your turnover attached.

Key takeaways

Common questions

Related notes

Not sure if your pricing tool can see your competitors' numbers?

That single question decides whether your AI pricing is a legitimate edge or a competition-law exposure. A short call maps how your pricing tools actually work and where the line sits. Book a call.